JobsConsulting - TC - AI and Quant Mod - AI Data Scientist - Manager - Multiple Positions - 1701537
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Consulting - TC - AI and Quant Mod - AI Data Scientist - Manager - Multiple Positions - 1701537

EY

Location

Seattle, WA

Type

Full-time

Posted

5/6/2026

Compensation

$196,914 per year

Master's with 2+ Years of Experience
Approval 97.9%·Filings 747·New hires 303·
💎 Strong Sponsor
·FY 2025

Job description

The AI Data Scientist Manager role at EY involves working with diverse clients to deliver advanced data science and analytics solutions. The team focuses on leveraging machine learning and artificial intelligence to help organizations enhance their decision-making processes. This position requires managing and motivating a team of professionals while ensuring high-quality client services. The role emphasizes the importance of building long-term client relationships and cultivating business development opportunities.

Requirements

  • Bachelor's degree in Mathematics, Information Systems, Statistics, Operations Research, Data Science, Analytics, Computer Science, Engineering, Machine Learning, or a related field and 5 years of progressive, post-baccalaureate related work experience; or a Master's degree in a related field and 4 years of related work experience.
  • 3 years of experience in external advisory professional services, external consulting, or customer success.
  • 4 years of hands-on working experience with artificial intelligence, machine learning, data science, or data engineering.
  • 4 years of experience working with Python.
  • 2 years of combined experience using at least 2 Generative AI models and frameworks.
  • 1 year of combined experience using DevOps tools GIT and Azure DevOps.
  • 2 years of experience designing, building, and maintaining ML models and workflows on a major cloud computing platform.
  • 4 years of experience with data manipulation tools and libraries such as SQL, Pandas, or Spark.
  • 2 years of experience with containerization and scaling models.
  • 2 years of experience directly managing technical teams.

Responsibilities

  • Work with clients to design, build, and maintain scalable data solutions.
  • Leverage machine learning workflows to analyze and transform data for meaningful predictions.
  • Apply data mining and statistical analysis techniques to large datasets.
  • Build and apply data analysis algorithms including machine learning and natural language processing.
  • Design and deploy end-to-end machine learning workflows.
  • Manage and motivate teams of professionals with diverse skills.
  • Deliver quality client services by monitoring project progress.
  • Cultivate business development opportunities and maintain long-term client relationships.

Benefits

  • Ernst & Young (EY) offers a comprehensive and competitive benefits package designed to support the well-being of its employees across various dimensions.

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